YanyueMa's repositories

tutorials

机器学习相关教程

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multi-agent-emergence-environments

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

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sumolights

SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights

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design_patterns

图说设计模式

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distributedRL_MAPF

Distributed RL/IL code for Multi-Agent Path Finding (MAPF)

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AlgorithmsByPython

算法/数据结构/Python/剑指offer/机器学习/leetcode

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CityFlow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

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deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

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Deep-QLearning-Agent-for-Traffic-Signal-Control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.

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PacmanDQN

Deep Reinforcement Learning in Pac-man

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deeprl_network

multi-agent deep reinforcement learning for networked system control.

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deeprl_signal_control

multi-agent deep reinforcement learning for large-scale traffic signal control.

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pysc2

StarCraft II Learning Environment

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uestc_Internet_plus_course_project

本人在大学期间所有课程课设和作业的代码和部分报告,包括【计算机组成与结构】、【计算机网络与通信技术】、【软件基础综合课程设计】、【互联网软件开发综合课程设计】、【数据挖掘与大数据分析】、【时间序列分析】、【机器学习】、【数据结构与算法】、【并行程序设计导论】、【计算机操作系统】、【计算机视觉】

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WebServer_Comment

使用C++11完成的Web服务器

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Realtime-Action-Recognition

Multi-person real-time recognition (classification) of 9 actions based on human skeleton from OpenPose and a 0.5-second window.

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sumo-rl

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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ELF

An End-To-End, Lightweight and Flexible Platform for Game Research

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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Reinforcement-Learning-Algorithms-with-Python

Reinforcement Learning Algorithms with Python, Published by Packt

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tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

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ShortLink

使用go实现的短网址服务

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ThreadPool

使用C++11完成线程池

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CVE-2019-0708

Scanner PoC for CVE-2019-0708 RDP RCE vuln

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airline

项目描述:使用python语言开发了一个显示航班航线的可视化系统,主要实现查询航班信息,航线显示信 息,显示航班晚点率。 项目职责:采用python开发了航线显示模块,在《智能计算机与应用》2019 年第 9 卷第 3 期上发表论文《基于航班数据可视化系统的设计与实现》,并申请软件著作权《基于echarts库的航班信息可视化系统》,登记号2019R11S0348072。

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multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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MoSTScenario

Monaco SUMO Traffic (MoST) Scenario

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CVE-2019-7239

Nexus Repository Manager 3 Remote Code Execution without authentication < 3.15.0

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